A Convex Hull is the smallest convex shape that can enclose a set of points in a two-dimensional or three-dimensional space. Imagine stretching a rubber band around a group of nails hammered into a board; when released, the band forms the convex hull around the nails. This concept is widely used in computational geometry, computer graphics, and various applications like pattern recognition and image processing. The convex hull can be visualized as the boundary that wraps around the outermost points of a dataset. Algorithms such as Graham's scan and Jarvis's march are commonly used to compute the convex hull efficiently. Understanding the convex hull helps in solving problems related to shape analysis and spatial data organization.